Santa Clara, Calif.Mixed-signal ASIC vendor ChipX announced the implementation of a complex, 10 million gate design for pattern recognition using Recognetics' neural network technology.
The new device, Recognetics' CM1K is a powerful neural network chip featuring 1024 neurons working in parallel that can be daisy-chained to other CM1K devices to increase the network size. It is a suitable companion chip for smart sensors and cameras and can classify patterns at high speed while coping with ill-defined data and unknown events, and adapting to changes of contexts and working conditions. Markets include security, data mining, imaging, robotics, manufacturing and others.
Recognition time of a 256-byte vector is achieved in less than 10us while operating at 27MHz, keeping power consumption of the device very low. The device uses 3.3V and 1.2V supplies and dissipates only 300mW. CM1K can extract 1D signatures from 2D camera data.
The CM-1K is sampling today and a variety of demonstration and implementation platforms are available from Recognetics directly.
For further information about the CM-1K, refer to www.Recognetics.com. For information about ChipX ASIC capabilities, visit www.Chipx.com.